Modelfy 3D
Turn images and text into textured 3D assets
What it does
Modelfy 3D turns one image, multiple reference views, or a text idea into a textured 3D asset you can use—not just preview. Choose a quality level, inspect the result in Solid, Base Color, or Wireframe view, and export GLB for web and games, OBJ for 3D workflows, or STL for printing. Built for game creators, product designers, and makers ready to move from a flat reference into a real creative workflow.
Transform any image to 3D models instantly with our advanced AI image to 3D generator. Convert 2D images to 3D models in seconds - free online tool for 3D printing, games, and professional projects.
Up to 300K polygons PBR textures. Transform 2D image to 3D models online. First model free. Discover amazing results from our AI image to 3D generator. See how 2D images transform into professional 3D models perfect for 3D printing, games, and visualization. Join thousands of creators who are transforming their images into stunning 3D models with our AI technology. We've developed proprietary AI algorithms that transform any image to 3D models with up to 300,000 polygons. Our self-developed technology powers enterprise-grade 3D generation for professionals worldwide. Founded by computer vision researchers and 3D graphics engineers, we've invested years developing proprietary AI algorithms…from modelfy.art
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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